LabCompass

Wei Tang

Neuroscience · Indiana University

OpenAlex ORCID
Functional Brain Connectivity StudiesNeural dynamics and brain functionStatistical Methods and Bayesian InferenceAdvanced Neuroimaging Techniques and ApplicationsStatistical Methods and Inference

Publications

50

Citations

1,456

Est. group size

—

Recurring co-author estimate

Active years

30

Publishing since 1996

Research summary
AI-generated

Wei Tang studies how different regions of the brain connect and communicate, using techniques such as MRI (magnetic resonance imaging) and analyses of functional and anatomical brain networks. This work spans both human patients (including conditions like schizophrenia, bipolar disorder, and somatic symptom disorder) and animal models such as the macaque, and often draws on statistical and machine-learning methods. Some publications also cross into related medical imaging and clinical case studies.

Brain connectivity and networksNeuroimaging (MRI)Psychiatric and neurological disordersCross-species brain comparisonStatistical and machine-learning methods

Publication activity has been fairly steady across the decade with a notable increase in the most recent year (2025).

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 3.8/year recently
2017: 2 publications172018: 3 publications182019: 3 publications192020: 2 publications202021: 1 publication212022: 5 publications222023: 4 publications232024: 2 publications242025: 8 publications82526
Recent publications
Publishes in
  • bioRxiv (Cold Spring Harbor Laboratory)×3
  • Biological Psychiatry×2
  • Brain Structure and Function×2
  • BMC Neurology×2
  • Psychiatry Research Neuroimaging×2

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

Claim or correct this profile